2020
DOI: 10.1109/access.2020.2992219
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Toward Unconstrained Palmprint Recognition on Consumer Devices: A Literature Review

Abstract: The research work presented here was funded under Industry/Academic Partnership 13/SPP/I2868 co-funded by Science Foundation Ireland (SFI) and FotoNation Ltd.

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Cited by 32 publications
(13 citation statements)
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“…These systems use biometric features to extract generic or customized feature extractors. For example, customize shape extractors [40,82,83] or figure features extractors algorithms Scale Invariant Feature Transform (SIFT) [82], LBP [84]. They are also used palm-based textures [85].…”
Section: Extraction Of Biometric Featuresmentioning
confidence: 99%
See 1 more Smart Citation
“…These systems use biometric features to extract generic or customized feature extractors. For example, customize shape extractors [40,82,83] or figure features extractors algorithms Scale Invariant Feature Transform (SIFT) [82], LBP [84]. They are also used palm-based textures [85].…”
Section: Extraction Of Biometric Featuresmentioning
confidence: 99%
“…Recent research uses deep neural networks, such as convolutional neural networks [87,88] or Siamese networks, to extract biometric features of the hand [87].…”
Section: Extraction Of Biometric Featuresmentioning
confidence: 99%
“…In this method, large database set has been taken for experiment their proposed idea. Few research articles summarised (23) , (24) , (25) all the palmprint retrieval methods.…”
Section: Related Workmentioning
confidence: 99%
“…1 . They consist of simple cameras and lights, and some even smart phones, which shows the potential of touchless palmprint recognition to be used as a convenient and hygeian biometrics technology [5] .
Fig.
…”
Section: Introductionmentioning
confidence: 99%